Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11BE23E79929065274B1729E1FA349B2BB5AB870CCF23490893FC8BC59FD2CD5CD161AC |
|
CONTENT
ssdeep
|
768:fKeDrF2dj75NUDRJmgrRCvyNkAPtk0StpbAmah7mE:ffhEf/UVJmHvyhlk09mE7mE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
edc03b92c33a964b |
|
VISUAL
aHash
|
ffdbd3f3f3838181 |
|
VISUAL
dHash
|
2b37332363273b2b |
|
VISUAL
wHash
|
ff9391f1f1838181 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
2b37332363273b2b,7cbc9c7c64ecaea6,7c7f4358d9d9d9cd |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 48 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)